using Seasoned.Backend.DTOs;
using Mscc.GenerativeAI;
using Microsoft.AspNetCore.Http;
using System.IO;

namespace Seasoned.Backend.Services;

public class RecipeService : IRecipeService
{
    private readonly string _apiKey;

    public RecipeService(IConfiguration config)
    {
        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
    }

    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
    {
        var googleAI = new GoogleAI(_apiKey);
        // Use a string for the model name to avoid CS0117
        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 

        using var ms = new MemoryStream();
        await image.CopyToAsync(ms);
        var base64Image = Convert.ToBase64String(ms.ToArray());

        var prompt = "Extract the recipe from this image. Return Title and Description.";
        
        // Use the constructor that the library likes
        var request = new GenerateContentRequest();
        
        // Manually build the structure in a way that avoids the List conversion crash
        var content = new Content(Role.User);
        
        // We add the text part using the library's preferred text-first approach
        request.Contents = new List<Content> { content };
        
        // Attempting the most universal "Add" method for media
        // If your library doesn't have AddMedia, we use this direct property:
        content.Parts = new List<IPart> 
        { 
            new TextPart(prompt),
            new InlineDataPart("image/png", base64Image)
        };

        var response = await model.GenerateContent(request);

        return new RecipeResponseDto
        {
            Title = "Gemini 2.5 Analysis",
            Description = response.Text ?? "No text returned",
            Ingredients = new List<string>(),
            Instructions = new List<string>()
        };
    }
}